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Shadowing Internship Data Analyst Jobs in Arizona

Accenture

Data Protection, A/SA-Evergreen

Phoenix, AZ · On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Siemens

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

Siemens

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

Siemens

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

Siemens

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

Siemens

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

Siemens

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

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Shadowing Internship Data Analyst information

What is the difference between Shadowing Internship Data Analyst vs Data Analyst?

AspectShadowing Internship Data AnalystData Analyst
Required CredentialsTypically students or entry-level with basic knowledgeBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, learning-focused, supervisedFull-time, professional environment, independent tasks
Employer & Industry UsageUsed for training and exploration in various industriesCore role in data-driven companies across industries

In summary, a Shadowing Internship Data Analyst is a learning position where individuals observe and assist under supervision, focusing on gaining experience. A Data Analyst is a full-time professional responsible for analyzing data, creating reports, and supporting decision-making. The internship offers foundational exposure, while the Data Analyst role involves independent work and expertise.

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Shadowing Internship Data Analyst jobs near you

IT Analyst I

Honeywell International, Inc.

Phoenix, AZ • On-site

Full-time

Posted 5 days ago

Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

66th of 544 rated manufacturers

Job description

Responsibilities
Key Responsibilities
  • Gain exposure to how large companies manage data across different areas like engineering, supply chain, finance, and manufacturing.
  • Learn how data is used to support decision-making, dashboards, operations and reporting.
  • Assist with simple data quality checks or structured cleanup tasks under mentor guidance.
  • Work with senior IT leaders to understand high-level data challenges and turn them into small, hands-on prototype opportunities.
  • Collaborate on innovation initiatives that use modern data engineering, cloud capabilities, and predictive analytics to generate measurable business impact.
  • Learn how different systems (like SAP, cloud platforms, or analytics tools) connect/share data.
  • Learn what "data governance" means and why accuracy, consistency, and security matter in large organizations.
  • Help with documentation related to data definitions, business rules, or how a prototype handles data.
  • Learn foundational concepts about data security, classification, and why certain industries follow strict rules.
  • Follow security guidelines while working with data in prototypes or testing environments.
  • Gain early exposure to enterprise systems like SAP and cloud platforms so you can grow into more advanced data roles in the future.
  • Participate in learning sessions with senior leaders to understand how enterprise data supports major programs.

Qualifications
YOU MUST HAVE
  • Bachelor's degree (completed or in final year) in Computer Science, Data Science, IT, Engineering, or related technology discipline.
  • Ability to write code in at least one language (Python, SQL, Java, JavaScript/TypeScript).
  • Understanding of fundamental computer science concepts: algorithms, data structures, databases, debugging, and SDLC basics.
  • Exposure to at least one relevant area: web development, scripting/automation, cloud platforms, AI/ML, data analytics, or enterprise applications.
  • Strong problem-solving skills, curiosity, willingness to learn fast, and ability to communicate.
  • Ability to work effectively with mentors, peers, and cross-functional stakeholders.

WE VALUE
  • Hands-on experience through academic projects, internships, capstones, or hackathons.
  • Exposure to Python data libraries, data cleaning, automation scripts, or analytics notebooks.
  • Experience with dashboards or BI tools (Power BI, Tableau, SAP Analytics Cloud).
  • Familiarity with cloud concepts (AWS/Azure fundamentals, APIs, IAM, serverless functions).
  • Exposure to AI/GenAI concepts (prompt engineering, embeddings, model evaluation, RAG).
  • Experience using Git, GitHub, Copilot, VS Code, CI/CD basics, or Agile tools such as JIRA.

Technical Skills
Programming & Scripting
  • Basic Python skills for data analysis or simple automation
  • SQL fundamentals for querying and working with data
  • Optional exposure to Java or JavaScript
  • Optional basic scripting experience (PowerShell or Bash)

Data & Analytics
  • Understanding of how to clean, organize, and prepare data
  • Ability to build simple dashboards using tools like Power BI or Tableau
  • Exposure to basic analytics or introductory machine learning concepts

Cloud & Data Platforms
  • General awareness of cloud platforms (AWS, Azure, Snowflake)
  • Understanding of APIs at a beginner level
  • Basic knowledge of how data moves between systems

Tools & Productivity
  • Experience using Git or GitHub for version control
  • Familiarity with IDEs like VS Code
  • Exposure to work-tracking tools (such as JIRA)
  • Basic troubleshooting skills (debugging simple code or data issues)

What Honeywell employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Honeywell logo

About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906

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